TY - JOUR
T1 - Estimating the CO2 Fertilization Effect on Extratropical Forest Productivity From Flux-Tower Observations
AU - Zhan, Chunhui
AU - Orth, René
AU - Yang, Hui
AU - Reichstein, Markus
AU - Zaehle, Sönke
AU - De Kauwe, Martin G.
AU - Rammig, Anja
AU - Winkler, Alexander J.
N1 - Publisher Copyright:
© 2024. The Author(s).
PY - 2024/6/10
Y1 - 2024/6/10
N2 - The land sink of anthropogenic carbon emissions, a crucial component of mitigating climate change, is primarily attributed to the CO2 fertilization effect on global gross primary productivity (GPP). However, direct observational evidence of this effect remains scarce, hampered by challenges in disentangling the CO2 fertilization effect from other long-term confounding drivers, particularly climatic changes. Here, we introduce a novel statistical approach to separate the CO2 fertilization effect on photosynthetic carbon uptake using eddy covariance (EC) records across 38 extratropical forest sites. We find the median stimulation rate of GPP to be 3.2 ± 0.9 gC m−2 yr−1 ppm−1 (or 16.4 ± 4.2% per 100 ppm) under increasing atmospheric CO2 across these sites, respectively. To validate the robustness of our findings, we test our statistical method using factorial simulations of an ensemble of process-based land surface models. We address additional factors, including nitrogen deposition and land management, that may impact plant productivity, potentially confounding the attribution to the CO2 fertilization effect. Assuming these site-specific effects offset to some extent across sites as random factors, the estimated median value still reflects the strength of the CO2 fertilization effect. However, disentanglement of these long-term effects, often inseparable by timescale, requires further causal research. Our study provides direct evidence that the photosynthetic stimulation is maintained under long-term CO2 fertilization across multiple EC sites. Such observation-based quantification is key to constraining the long-standing uncertainties in the land carbon cycle under rising CO2 concentrations.
AB - The land sink of anthropogenic carbon emissions, a crucial component of mitigating climate change, is primarily attributed to the CO2 fertilization effect on global gross primary productivity (GPP). However, direct observational evidence of this effect remains scarce, hampered by challenges in disentangling the CO2 fertilization effect from other long-term confounding drivers, particularly climatic changes. Here, we introduce a novel statistical approach to separate the CO2 fertilization effect on photosynthetic carbon uptake using eddy covariance (EC) records across 38 extratropical forest sites. We find the median stimulation rate of GPP to be 3.2 ± 0.9 gC m−2 yr−1 ppm−1 (or 16.4 ± 4.2% per 100 ppm) under increasing atmospheric CO2 across these sites, respectively. To validate the robustness of our findings, we test our statistical method using factorial simulations of an ensemble of process-based land surface models. We address additional factors, including nitrogen deposition and land management, that may impact plant productivity, potentially confounding the attribution to the CO2 fertilization effect. Assuming these site-specific effects offset to some extent across sites as random factors, the estimated median value still reflects the strength of the CO2 fertilization effect. However, disentanglement of these long-term effects, often inseparable by timescale, requires further causal research. Our study provides direct evidence that the photosynthetic stimulation is maintained under long-term CO2 fertilization across multiple EC sites. Such observation-based quantification is key to constraining the long-standing uncertainties in the land carbon cycle under rising CO2 concentrations.
KW - climate effect
KW - CO fertilization effect
KW - eddy covariance records
KW - forest
KW - gross primary productivity
UR - http://www.scopus.com/inward/record.url?scp=85195541262&partnerID=8YFLogxK
U2 - 10.1029/2023JG007910
DO - 10.1029/2023JG007910
M3 - Article (Academic Journal)
AN - SCOPUS:85195541262
SN - 2169-8953
VL - 129
SP - 1
EP - 17
JO - Journal of Geophysical Research: Biogeosciences
JF - Journal of Geophysical Research: Biogeosciences
IS - 6
M1 - e2023JG007910
ER -